Building SaaS Products: Our Journey from Idea to 3 Products

When we founded Seztech Inc. in Plano, Texas in 2024, we had a simple thesis: there were underserved niches in three industries — ecommerce video, employee monitoring, and healthcare compliance — where purpose-built SaaS products could deliver outsized value to small and mid-sized businesses.

Two years later, we operate three production SaaS products serving customers across the United States. Here is the story of how we got here, the decisions that shaped our company, and the lessons we learned along the way.

The Three Products

Our portfolio consists of three distinct products, each targeting a different market:

Byvano is a shoppable video platform for ecommerce. It lets Shopify and WooCommerce merchants import their TikToks, Instagram Reels, and YouTube Shorts, tag products in the video, and display interactive video widgets on their storefront. The insight was simple: social video drives discovery, but there was no easy way to make that video shoppable on your own store.

DeskTrust is an employee monitoring and productivity tracking platform. It captures screenshots, tracks application usage, measures productivity, and generates AI-powered daily reports. We built it because existing tools were either too expensive, too invasive, or too complex for small teams managing remote employees.

RxCompliant is an AI-powered prescription verification system for online stores selling medical devices like CPAP machines and hearing aids. These products legally require a valid prescription before sale, but most online retailers handle verification manually — slowly, inconsistently, and at scale-breaking cost.

Why Three Products, Not One?

Conventional startup wisdom says focus on one product. We deliberately chose a different path for three reasons:

• Revenue diversification — three products in three industries means no single market downturn can sink the company
• Shared infrastructure — all three products share the same tech stack (Next.js, Prisma, MySQL, AWS), reducing engineering overhead
• Cross-pollination — lessons from building real-time screenshot capture in DeskTrust informed our video processing in Byvano; the AI document analysis in RxCompliant uses similar models to DeskTrust's activity transcription

The First Year: Byvano and the Shopify Ecosystem

Byvano was our first product. We chose ecommerce video because the market was growing fast (video commerce was projected to reach $55 billion by 2026) and the incumbent solutions — Tolstoy, Videowise — were priced for enterprise merchants. We saw an opportunity for a self-serve tool at $29-99/month.

The biggest challenge was Shopify App Store approval. Shopify's review process is thorough, and we went through multiple rounds of feedback before getting listed. The lessons: build proper OAuth flows from day one, implement all GDPR webhooks, and test your embedded app in every browser.

Adding DeskTrust: The Remote Work Opportunity

DeskTrust started as an internal tool. We needed to monitor our own remote contractors and found that existing solutions like Hubstaff and Time Doctor were either missing features we needed (AI activity summaries) or charging per-user rates that did not scale for small teams.

The product grew from internal tool to commercial product in about three months. The technical challenge was real-time screenshot capture across Windows, macOS, and Linux with minimal CPU impact. We solved this with adaptive capture — the agent detects system specs and adjusts screenshot frequency and quality automatically.

RxCompliant: Finding a Niche in Healthcare Compliance

RxCompliant came from a customer conversation. A medical device retailer asked if we could build a prescription verification widget for their Shopify store. After researching the market, we found that thousands of online DME (Durable Medical Equipment) retailers were handling prescription verification manually — printing documents, calling prescriber offices, filing paper records.

We built an AI-powered solution using Claude that could analyze prescription documents, verify prescriber NPI numbers against the federal registry, and auto-approve high-confidence prescriptions. The result: what used to take 20+ hours per week of manual work now happens automatically.

Lessons Learned

1. Ship fast, iterate based on real feedback

Every product launched with a fraction of the features we had planned. But getting real customers using the product early generated feedback that was worth more than months of planning.

2. Technical debt is a feature, not a bug

We chose to move fast and accumulate some technical debt rather than over-engineer upfront. The key is knowing which debt to take on (UI shortcuts, temporary workarounds) and which to avoid (security, data integrity).

3. Free trials convert better than free plans

All three products offer free trials (7-60 days depending on the product). We found that time-limited trials with full features convert better than permanent free plans with feature restrictions.

4. Documentation is marketing

Our most effective SEO content is our documentation and blog posts answering specific technical questions. When someone searches "how to add prescription verification to Shopify," our blog post ranks and converts.

What is Next

In 2026, we are focused on three priorities: growing each product's customer base through organic SEO and content marketing, deepening AI features across all three products, and expanding integrations (Byvano for BigCommerce, DeskTrust for Linux, RxCompliant for WooCommerce).

We are also exploring a fourth product area — but that is a story for another post.